Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
OpenML is an open, free platform for sharing datasets, algorithms, and machine learning experiments to help people learn how to learn better together. It enables reproducible experimentation by organizing data, tasks, flows, and runs with rich metadata and by recording exact datasets, library versions, and.pipeline configurations, with integrations for Python (scikit-learn) and R mlr3 for easy import/export. Users can explore millions of reproducible results, run benchmarks with curated suites, and contribute data, code, and tools to the ecosystem.
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